Company Description Blend360is aworld class marketing, analytics, and technology company that delivers the best results for our clients.Our primary focus is Data Sciences;leveraging data and applied mathematicstosolve our clients’business challenges.Blend360isknown for our exceptional people, our get-it-done mentality, and delivering high impact and sustainable results.If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360. Job Description We are seeking a seasoned Data Engineering Manager with 8+ years of experience to lead and grow our data engineering capabilities. This role demands strong hands-on expertise in Python, SQL, Spark , and advanced proficiency in AWS and Databricks . As a technical leader, you will be responsible for architecting and optimizing scalable data solutions that enable analytics, data science, and business intelligence across the organization. Key Responsibilities: Lead the design, development, and optimization of scalable and secure data pipelines using AWS services such as Glue, S3, Lambda, EMR , and Databricks Notebooks , Jobs, and Workflows. Oversee the development and maintenance of data lakes on AWS Databricks , ensuring performance and scalability. Build and manage robust ETL/ELT workflows using Python and SQL , handling both structured and semi-structured data. Implement distributed data processing solutions using Apache Spark / PySpark for large-scale data transformation. Collaborate with cross-functional teams including data scientists, analysts, and product managers to ensure data is accurate, accessible, and well-structured. Enforce best practices for data quality, governance, security , and compliance across the entire data ecosystem. Monitor system performance, troubleshoot issues, and drive continuous improvements in data infrastructure. Conduct code reviews, define coding standards, and promote engineering excellence across the team. Mentor and guide junior data engineers, fostering a culture of technical growth and innovation. Qualifications Requirements 8+ years of experience in data engineering with proven leadership in managing data projects and teams. Expertise in Python, SQL, Spark (PySpark) , and experience with AWS and Databricks in production environments. Strong understanding of modern data architecture, distributed systems, and cloud-native solutions. Excellent problem-solving, communication, and collaboration skills. Prior experience mentoring team members and contributing to strategic technical decisions is highly desirable. Additional Information Our perks and benefits: ️ Flexible working options to help you strike the right balance. All the equipment you need to harness your talent (Macbook and accessories). After office events, football, tennis and game nights (headquarters). Learning opportunities: AWS Certifications (we are AWS Partners). Study plans, courses and other certifications. English Lessons. Mentoring and Development opportunities to shape your career path. Anniversary and birthday Perks Great location and even greater teammates! #J-18808-Ljbffr